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QuickView v5.0.0

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@justnullname justnullname released this 04 Apr 14:54
· 189 commits to main since this release
v5.0.0
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QuickView v5.0.0 - The Advanced Color & Architecture Update

Release Date: 2026-04-05

Welcome to the most significant update in QuickView's history. Version 5.0.0 introduces a modernized core architecture and professional-grade color tools, moving Beyond SDR.

🚀 Google Highway & ARM64 Support

We've re-engineered our SIMD acceleration using Google Highway.

  • Broader Hardware Support: Optimized performance for all CPUs (SSE4, AVX2, AVX-512, NEON).
  • Native ARM64: QuickView now runs natively on Windows on ARM with full hardware acceleration.

🌈 Professional HDR Pipeline

QuickView now features a full 32-bit float scRGB linear rendering pipeline.

  • Ultra HDR (Gain Map): Native GPU-accelerated composition for Google Ultra HDR and Samsung Gain Maps.
  • Tone Mapping: Professional HDR-to-SDR roll-off mapping ensures stunning results even on standard displays.
  • HDR Pro Panel: Real-time peak luminance estimation and detailed structural metadata for JXL, AVIF, EXR, and HEIC.

🎨 GPU-Driven CMS & Soft Proofing

Accurate color reproduction is now at the heart of QuickView.

  • Modern CMS: Hardware-accelerated ICC profile extraction and application via Direct2D dual-node pipeline.
  • Soft Proofing: Professional simulation of output profiles (e.g., CMYK, Printer profiles) directly in the viewport.
  • V4 Support: Full compatibility with the latest ICC v4 and Compact ICC profiles.

🧭 Advanced Navigation (#118)

  • Natural Sorting: Browsing order now matches Windows Explorer perfectly.
  • Circular Loops: Enhanced cross-folder navigation with independent toggle controls.
  • Interactive Tooltips: Complex settings now feature detailed descriptions on hover.

🛠 Reliability Improvements

  • Resolved HeavyLanePool deadlock during rapid navigation (#85).
  • Fixed window resizing and info panel constraints (#88, #89).
  • Fixed AVIF HDR gain map decoding crash (#124).
  • Fixed manual rotation coordinate drift on zoomed images (#91).

🤝 Acknowledgments

Special thanks to @Dimmitrius for optimization of the Russian translation, and our community for continuous feedback.

Contributors

Dimmitrius
Assets 4
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